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Self-organization and a dynamical transition in traffic-flow models.

TLDR
A simple model that describes traffic flow in two dimensions finds a sharp jamming transition that separates between the low-density dynamical phase in which all cars move at maximal speed and the high-density jammedphase in which they are all stopped.
Abstract
A simple model that describes traffic flow in two dimensions is studied. A sharp jamming transition is found that separates between the low-density dynamical phase in which all cars move at maximal speed and the high-density jammed phase in which they are all stopped. Self-organization effects in both phases are studied and discussed.

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Journal ArticleDOI

Traffic and related self-driven many-particle systems

TL;DR: This article considers the empirical data and then reviews the main approaches to modeling pedestrian and vehicle traffic, including microscopic (particle-based), mesoscopic (gas-kinetic), and macroscopic (fluid-dynamic) models.
Journal ArticleDOI

Simulation of pedestrian dynamics using a two dimensional cellular automaton

TL;DR: In this article, a two-dimensional cellular automaton model is proposed to simulate pedestrian tra c c. It is a vmax = 1 model with exclusion statistics and parallel dynamics, and long-range interactions between the pedestrians are mediated by a so-called "oor #eld which modi4es the transition rates to neighbouring cells.
Journal ArticleDOI

The physics of traffic jams

TL;DR: In this paper, a car-following model is proposed to investigate the bunching transition and bus delay in traffic flow and pedestrian flow, and detailed results obtained mainly from the microscopic car following models are presented.

Evacuation Dynamics: Empirical Results, Modeling and Applications

TL;DR: 1 Institut fur Theoretische Physik, Universitat zu Koln, Germany as@thp.uni-koeln.de 2 Interdisziplinares Zentrum fur komplexe Systeme, Bonn, Germany
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Cellular automata models of road traffic

TL;DR: An elaborate and understandable review of traffic cellular automata (TCA) models, which are a class of computationally efficient microscopic traffic flow models, by means of time–space and phase-space diagrams, and histograms showing the distributions of vehicles’ speeds, space, and time gaps.
References
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Book

Introduction to percolation theory

TL;DR: In this paper, a scaling solution for the Bethe lattice is proposed for cluster numbers and a scaling assumption for cluster number scaling assumptions for cluster radius and fractal dimension is proposed.
Book

Introduction to percolation theory

TL;DR: In this article, a scaling solution for the Bethe lattice is proposed for cluster numbers and a scaling assumption for cluster number scaling assumptions for cluster radius and fractal dimension is proposed.
Journal ArticleDOI

An introduction to percolation

TL;DR: In this article, an integrated approach (i.e., lecture, computer simulation and experimental measurements) to percolation theory is discussed, which is simple enough to make the introduction of such topics to university entrance and even high school students a realistic proposition.
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